multi-ai-hub

multi-ai-hub

Privacy-first local MCP hub for coordinating multiple AI providers from Claude Code, supporting local Ollama seats and cloud providers with safety routing.

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README

Multi-AI Hub

Privacy-first local MCP hub for coordinating multiple AI providers from Claude Code.

The hub runs on your machine, exposes a small Model Context Protocol server, and lets a commander agent ask bounded questions to other providers without handing them your whole workspace. It supports local Ollama seats for private work, cloud seats for non-sensitive critique, and a structured council mode for independent review.

What It Does

  • Exposes MCP tools for Claude Code: ask_openai, ask_gemini, ask_ollama, ask_qwen, ask_llama_fast, council_review, multi_ai_status, and optional cloud seats.
  • Keeps API keys server-side in .env; they are never sent to the browser.
  • Uses local Ollama seats for private review and offline fallback.
  • Blocks obvious sensitive prompts from cloud seats with a fail-closed routing check.
  • Supports optional OpenAI-compatible cloud reviewers: Groq, Cerebras, Mistral, OpenRouter, GLM, and NVIDIA NIM.
  • Provides smoke tests and a secret/private marker scanner for safer sharing.

Providers

Base providers:

  • Claude via Claude Code CLI / Claude Max, or Anthropic API
  • OpenAI API
  • Gemini API
  • Ollama local models

Council seats:

  • Local: Qwen 30B, fast local seat, manual DeepSeek
  • Cloud: Gemini, Groq, Cerebras, Mistral, OpenRouter, GLM, NVIDIA NIM

Cloud seats are dormant until their matching API key is set.

Quick Start

Requirements:

  • Node.js 20+
  • pnpm
  • Claude Code installed or available through this package
  • Optional: Ollama for local seats

Install and configure:

pnpm install
Copy-Item .env.example .env

Add provider keys to .env as needed:

GEMINI_API_KEY=
OPENAI_API_KEY=
NVIDIA_API_KEY=
OLLAMA_URL=http://127.0.0.1:11434

Start the local HTTP server:

pnpm start

Run the MCP server from Claude Code by pointing your MCP config at:

node node_modules/tsx/dist/cli.mjs src/mcp-server.ts

MCP Tools

Always registered:

  • ask_openai
  • ask_gemini
  • ask_ollama
  • ask_qwen
  • ask_llama_fast
  • ask_deepseek
  • council_review
  • multi_ai_status

Conditionally registered when configured:

  • generate_image
  • ask_groq
  • ask_cerebras
  • ask_mistral
  • ask_openrouter
  • ask_glm
  • ask_nvidia

multi_ai_status reports provider availability, model names, Claude CLI status, and council seat metadata without exposing secrets.

NVIDIA NIM

NVIDIA NIM is supported as an OpenAI-compatible cloud seat. See docs/providers/nvidia.md.

Default values:

NVIDIA_MODEL=meta/llama-3.3-70b-instruct
NVIDIA_BASE_URL=https://integrate.api.nvidia.com/v1

Smoke-test configured cloud seats:

pnpm smoke:cloud-seats

Safety Model

This is a local single-user tool, not a hosted multi-tenant service.

Do not bind it to 0.0.0.0 or expose it publicly without adding authentication, authorization, HTTPS, rate limits, audit logs, and per-user spend controls.

Sensitive prompts are blocked from obvious cloud routes, but the classifier is a guardrail, not a legal or security guarantee. Use local/private seats for identity, legal, financial, medical, credential, or proprietary content.

Before publishing, forking, or sharing a modified copy:

pnpm secret:scan

Development

pnpm typecheck
pnpm test
pnpm audit --prod
pnpm secret:scan

License

MIT

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